Rubinstein 1966

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.6556  0.0026  0.1026  0.3146  0.0627  0.14
Anderszewski 2003   74  0.4027  0.0070  0.0372  0.0379  0.0283  0.02
Ashkenazy 1981   50  0.5248  0.0052  0.0557  0.0582  0.0363  0.04
Bacha 2000   26  0.6051  0.0057  0.0462  0.0454  0.0549  0.04
Badura 1965   66  0.4644  0.0019  0.1123  0.4129  0.2814  0.34
Barbosa 1983   33  0.576  0.046  0.148  0.5316  0.397  0.45
Biret 1990   22  0.6283  0.0038  0.0539  0.1566  0.0344  0.07
Blet 2003   8  0.6964  0.0022  0.1115  0.4533  0.1620  0.27
Block 1995   73  0.4065  0.0069  0.0371  0.0374  0.0375  0.03
Blumental 1952   76  0.3570  0.0078  0.0286  0.0260  0.0477  0.03
Boshniakovich 1969   38  0.569  0.0220  0.1019  0.4323  0.2615  0.33
Brailowsky 1960   35  0.5726  0.0037  0.0633  0.1841  0.1029  0.13
Bunin 1987   52  0.5187  0.0064  0.0547  0.0556  0.0464  0.04
Bunin 1987b   51  0.5284  0.0063  0.0554  0.0569  0.0454  0.04
Chiu 1999   64  0.4615  0.0124  0.1421  0.4337  0.1421  0.25
Cohen 1997   79  0.3379  0.0027  0.0641  0.1434  0.1625  0.15
Cortot 1951   63  0.4659  0.0079  0.0283  0.0279  0.0388  0.02
Csalog 1996   23  0.6217  0.0129  0.0727  0.2717  0.4413  0.34
Czerny 1949   59  0.4743  0.0046  0.0550  0.0563  0.0459  0.04
Czerny 1990   29  0.5945  0.0032  0.0635  0.1764  0.0439  0.08
Duchoud 2007   36  0.5730  0.0060  0.0469  0.0453  0.0461  0.04
Ezaki 2006   19  0.628  0.0215  0.0825  0.3937  0.1222  0.22
Falvay 1989   12  0.6657  0.0023  0.1220  0.4346  0.0524  0.15
Farrell 1958   20  0.6246  0.0049  0.0463  0.0458  0.0453  0.04
Ferenczy 1958   39  0.5612  0.0161  0.0464  0.0453  0.0458  0.04
Fliere 1977   5  0.7213  0.015  0.135  0.6037  0.1418  0.29
Fou 1978   6  0.711  0.381  0.381  0.666  0.522  0.59
Francois 1956   34  0.5752  0.0034  0.0531  0.2170  0.0437  0.09
Friedman 1923   87  -0.0382  0.0089  0.0189  0.0179  0.0390  0.02
Friedman 1923b   88  -0.0366  0.0090  0.0190  0.0182  0.0387  0.02
Friedman 1930   83  0.0658  0.0074  0.0284  0.0279  0.0384  0.02
Garcia 2007   80  0.2521  0.0185  0.0285  0.0284  0.0285  0.02
Garcia 2007b   84  0.0473  0.0086  0.0378  0.0385  0.0289  0.02
Gierzod 1998   44  0.5380  0.0065  0.0556  0.0574  0.0360  0.04
Gornostaeva 1994   27  0.6025  0.0025  0.1312  0.4650  0.0428  0.14
Groot 1988   7  0.704  0.0510  0.117  0.5335  0.1717  0.30
Harasiewicz 1955   81  0.2540  0.0055  0.0553  0.0576  0.0365  0.04
Hatto 1993   65  0.4660  0.0041  0.0738  0.1650  0.0440  0.08
Hatto 1997   45  0.5316  0.0139  0.0634  0.1843  0.0732  0.11
Horowitz 1949   53  0.5050  0.0031  0.0640  0.1539  0.1130  0.13
Indjic 1988   54  0.4977  0.0040  0.0537  0.1745  0.0534  0.09
Kapell 1951   43  0.5476  0.0067  0.0552  0.0581  0.0270  0.03
Kissin 1993   15  0.6431  0.0017  0.119  0.5139  0.1719  0.29
Kushner 1989   24  0.6224  0.0028  0.0628  0.2660  0.0433  0.10
Luisada 1991   25  0.6119  0.0116  0.0814  0.4547  0.0523  0.15
Lushtak 2004   47  0.5267  0.0036  0.0632  0.2166  0.0436  0.09
Malcuzynski 1961   18  0.6339  0.0050  0.0551  0.0564  0.0455  0.04
Magaloff 1978   37  0.5753  0.0056  0.0549  0.0561  0.0352  0.04
Magin 1975   72  0.4054  0.0077  0.0377  0.0381  0.0281  0.02
Michalowski 1933   82  0.1081  0.0082  0.0373  0.0383  0.0372  0.03
Milkina 1970   2  0.767  0.037  0.156  0.5717  0.385  0.47
Mohovich 1999   4  0.732  0.123  0.132  0.6514  0.384  0.50
Moravec 1969   30  0.5922  0.0151  0.0466  0.0462  0.0450  0.04
Morozova 2008   42  0.5423  0.0021  0.1222  0.4248  0.0526  0.14
Neighaus 1950   31  0.5932  0.0033  0.0630  0.2284  0.0245  0.07
Niedzielski 1931   75  0.3888  0.0083  0.0379  0.0386  0.0280  0.02
Ohlsson 1999   28  0.6068  0.0042  0.0542  0.1359  0.0443  0.07
Osinska 1989   16  0.6414  0.018  0.1611  0.4824  0.2712  0.36
Pachmann 1927   32  0.5838  0.0018  0.1117  0.4417  0.466  0.45
Paderewski 1930   40  0.5686  0.0054  0.0558  0.0560  0.0356  0.04
Perlemuter 1992   61  0.4772  0.0047  0.0645  0.0663  0.0351  0.04
Pierdomenico 2008   57  0.4861  0.0044  0.0544  0.1146  0.0542  0.07
Poblocka 1999   14  0.6435  0.0045  0.0546  0.0546  0.0546  0.05
Rabcewiczowa 1932   62  0.4749  0.0053  0.0467  0.0468  0.0369  0.03
Rachmaninoff 1923   77  0.3428  0.0073  0.0468  0.0468  0.0368  0.03
Rangell 2001   17  0.6329  0.0011  0.0913  0.4513  0.3011  0.37
Richter 1976   67  0.4555  0.0072  0.0470  0.0480  0.0371  0.03
Rosen 1989   41  0.5462  0.0048  0.0560  0.0584  0.0276  0.03
Rosenthal 1930   56  0.4937  0.0068  0.0465  0.0461  0.0462  0.04
Rosenthal 1931   68  0.4541  0.0043  0.0543  0.1140  0.1231  0.11
Rosenthal 1931b   71  0.4171  0.0066  0.0548  0.0554  0.0548  0.05
Rosenthal 1931c   49  0.5263  0.0058  0.0555  0.0561  0.0366  0.04
Rosenthal 1931d   60  0.4769  0.0059  0.0559  0.0548  0.0547  0.05
Rossi 2007   86  0.0085  0.0084  0.0281  0.0275  0.0379  0.02
Rubinstein 1939   10  0.6710  0.029  0.1110  0.494  0.553  0.52
Rubinstein 1952   1  0.763  0.062  0.244  0.636  0.581  0.60
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Schilhawsky 1960   70  0.4374  0.0071  0.0375  0.0376  0.0373  0.03
Shebanova 2002   11  0.6636  0.0014  0.0818  0.4326  0.3110  0.37
Smith 1975   46  0.5320  0.0135  0.0629  0.2476  0.0338  0.08
Sokolov 2002   58  0.4734  0.0075  0.0376  0.0377  0.0367  0.03
Sztompka 1959   55  0.4990  0.0062  0.0461  0.0456  0.0557  0.04
Tomsic 1995   3  0.735  0.044  0.123  0.6425  0.298  0.43
Uninsky 1932   78  0.3447  0.0081  0.0374  0.0375  0.0374  0.03
Uninsky 1971   69  0.4333  0.0080  0.0380  0.0382  0.0282  0.02
Wasowski 1980   48  0.5275  0.0030  0.0736  0.1784  0.0341  0.07
Zak 1937   9  0.6718  0.0112  0.0916  0.4421  0.319  0.37
Zak 1951   21  0.6211  0.0213  0.1224  0.3928  0.2716  0.32
Random 1   90  -0.1078  0.0088  0.0288  0.0250  0.0578  0.03
Random 2   89  -0.0442  0.0076  0.0282  0.0211  0.3735  0.09
Random 3   85  0.0089  0.0087  0.0287  0.0284  0.0286  0.02

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).